{"id":"W2990040262","doi":"10.1002/lipd.12203","title":"Interlaboratory Assessment of Dried Blood Spot Fatty Acid Compositions","year":2019,"lang":"en","type":"article","venue":"Lipids","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Waterloo; University of Toronto","funders":"","keywords":"Polyunsaturated fatty acid; Eicosapentaenoic acid; Dried blood spot; Fatty acid; Docosahexaenoic acid; Arachidonic acid; Chemistry; Lipidology; Food science; Chromatography; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015873,0.0001029368,0.0001900018,0.00004330937,0.00003418704,0.000009173845,0.0001329034,0.00006759431,0.0001000125],"category_scores_gemma":[0.00001163882,0.00009726326,0.00007786362,0.00008977591,0.00004912772,0.000002286144,0.0001233022,0.00006952429,0.000009258102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006128126,"about_ca_system_score_gemma":0.0000442963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004033612,"about_ca_topic_score_gemma":0.000005841184,"domain_scores_codex":[0.9993483,0.00003262345,0.000175914,0.0002096443,0.00009129451,0.0001421801],"domain_scores_gemma":[0.9994764,0.000006921274,0.00007810663,0.0003201038,0.00007948427,0.00003897811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000124249,0.0001104455,0.0235995,0.00002061792,0.0001462196,3.464179e-7,0.00001470343,0.000004263025,0.9718026,0.003666087,0.0005305553,0.00009227313],"study_design_scores_gemma":[0.0007169415,0.0004755104,0.03975969,0.00001105616,0.00005443039,0.000002769291,0.00009344557,0.00002197057,0.9376319,0.00007117283,0.02100876,0.0001523209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857713,0.0004555907,0.001078396,0.00008842103,0.0004050918,0.0001282231,0.00005681962,0.000008333958,0.0120078],"genre_scores_gemma":[0.9948637,0.0001667522,0.004196916,0.0001366973,0.00015305,0.00001120584,0.00007547591,0.00001137318,0.0003848176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03417064,"threshold_uncertainty_score":0.396628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005884756592747458,"score_gpt":0.2562312206995316,"score_spread":0.2503464641067842,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}